Identification of risk factors interactions in children with cerebral palsy using multifactor dimensionality reduction method
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S Zare Delavar , E Bakhshi , F Soleimani , A Biglarian |
Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. (Corresponding author) , abiglarian@uswr.ac.ir |
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Abstract: (16077 Views) |
Introduction: The
identification of risk factors and their interactions are very important in
medical studies. The aim of this study was to identify risk factors
interactions in children with Cerebral Palsy using multifactor dimensionality
reduction method. Materials and
Methods: In this descriptive study, the data of 225 children aged 1-6 years
during 2008 to 2009, were used. Balanced accuracy index in multifactor
dimensionality reduction method was used to identify interactions. Data
analysis was performed using the R software, version 2.15.2. Findings: Logistic
regression analysis showed that only the history of current pregnancy (P=0.002)
and asphyxia (P<0.001) were significantly associated with cerebral palsy.
The identified interaction of the factors by the method of multifactor
dimensionality reduction was asphyxia: consanguinity: pre-term
delivery with balance accuracy, 92.145. Conclusion: The
multifactor dimensionality reduction method, as a new approach, enables users
to identify risk factors interactions, such as cerebral palsy. Use of this
method in further study is recommended. |
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Keywords: Multifactor dimensionality reduction, Cerebral palsy, Children, Interaction. |
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Full-Text [PDF 7142 kb]
(2198 Downloads)
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Type of Study: Applicable |
Subject:
health management Received: 2013/06/1 | Accepted: 2014/01/7 | Published: 2014/01/7
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